Title :
Motion estimation using higher order statistics
Author :
Sayrol, Elisa ; Gasull, Antoni ; Fonollosa, Javier R.
Author_Institution :
Dept. of Signal Theory & Commun., Univ. Politecnica de Catalunya, Barcelona, Spain
fDate :
6/1/1996 12:00:00 AM
Abstract :
The objective of this paper is to introduce a fourth-order cost function of the displaced frame difference (DFD) capable of estimating motion even for small regions or blocks. Using higher than second-order statistics is appropriate in case the image sequence is severely corrupted by additive Gaussian noise. Some results are presented and compared to those obtained from the mean kurtosis and the mean square error of the DFD
Keywords :
Gaussian noise; higher order statistics; image segmentation; image sequences; motion estimation; additive Gaussian noise; displaced frame difference; fourth-order cost function; higher order statistics; image sequence; mean kurtosis; mean square error; motion estimation; Additive noise; Cost function; Design for disassembly; Gaussian noise; Higher order statistics; Image sequences; Integrated circuit noise; Mean square error methods; Motion estimation; Optical computing;
Journal_Title :
Image Processing, IEEE Transactions on
